A Spatiotemporal Context Definition for Service Adaptation Prediction in a Pervasive Computing Environment
This work addresses the need for clearer context definitions in pervasive computing to improve service adaptation, but it appears incremental as it builds on and classifies previous definitions.
The paper tackles the problem of vague context definitions in pervasive computing by proposing a new spatiotemporal context definition that enables systems to understand and predict contexts for proactive service adaptation.
Pervasive systems refers to context-aware systems that can sense their context, and adapt their behavior accordingly to provide adaptable services. Proactive adaptation of such systems allows changing the service and the context based on prediction. However, the definition of the context is still vague and not suitable to prediction. In this paper we discuss and classify previous definitions of context. Then, we present a new definition which allows pervasive systems to understand and predict their contexts. We analyze the essential lines that fall within the context definition, and propose some scenarios to make it clear our approach.